Data Scientist
4 weeks ago
Quinn AI is hiring an executive-level Senior Principal Data Scientist to join their team. In this role, you will serve as the technical lead, responsible for the architectural design and technological advancements of our next-generation, AI-driven revenue and sales platform. This innovative role focuses on developing conversation-based experiences, utilizing large language models, generative AI, and advanced machine learning technologies.
Key Job Responsibilities :
As a Principal Data Scientist, you will have deep expertise in machine learning and data science, with specialties in large language models, reinforcement learning, supervised learning, and generative AI across various modalities. This role involves aligning solutions with multiple partners including product teams, experience design, and foundational model teams. You will be responsible for translating business and functional requirements into concrete deliverables, driving strategic initiatives to enhance AI-driven customer experiences.
Your responsibilities include designing integrated solutions that are efficiently implemented across all stakeholder teams, maintaining alignment in the short term while influencing long-term strategic roadmaps to support ongoing experimentation. You will ensure high solution quality, focusing on accurately understanding and responding to customers through AI assistants, enhancing the speed of experiments and iterations of customer experience.
Additionally, this role involves building scalable solutions with robust checks on human feedback, managing the complexities of customer intents, and reinforcing learning algorithms with human feedback. You will make critical decisions on the best technical solutions for both immediate and future needs, clarify complex issues, manage trade-offs, and communicate effectively about technical challenges.
Basic Qualifications :
Graduate degree in Computer Science, Math, or a related field.
Experience with statistical analysis, data modeling, optimizations, regression modeling and forecasting, time series analysis, data mining, financial analysis, and demand modeling.
Experience applying various machine learning techniques, and understanding the key parameters that affect their performance.
Experience in developing large language models and reinforcement learning solutions for generative AI applications.
Skilled in managing large, cross-functional projects with evolving requirements from start to finish.
Strong foundations in data structures, algorithm design, and complexity analysis.
Ability to strategize for ML platforms focusing on recommender systems, ranking, and customer interaction features.
Exceptional ability to understand customer needs, propose alternative technical and business solutions, and deliver on tight deadlines.
Preferred Qualifications :
Strong mathematical and statistical skills.
Knowledge of foundational models, including large language models across multiple modalities, reinforcement learning, supervised learning, and other cutting-edge techniques in generative AI.
Demonstrated success in algorithm design and product development.
Publications in top-tier conferences or journals.
Experienced in mentoring and managing senior technical staff.
Proven business acumen, balancing multiple aspects of projects including technology and product strategies.
Effective communicator with diverse audiences.
Experience with large data sets and building scalable models.
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